Intelligent Tourism Personalized Recommendation Based on Multi-Fusion of Clustering Algorithms

Table 1

Examples of mandatory screening rules.

Screening condition	The algorithm calculates the distance between the user and the tourist attractions based on the user’s location information and deletes tourist attractions with a distance greater than D from the candidate set
Illustrate	The algorithm extracts the current time and working hours of tourist attractions and deletes tourist attractions that are not open at the current time from the candidate set
Tourist attraction location	The algorithm forcibly deletes tourist attractions that the user has browsed or favorited to avoid repeated recommendations
Current time	The algorithm calculates the distance between the user and the tourist attractions based on the user’s location information and deletes tourist attractions with a distance greater than D from the candidate set